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with Dr. Elena Raponi (the Natural Computing Group) and dr. Saber Salehkaleybar (the Explanatory Data Analysis Group) at LIACS; contribute to the teaching activities of the STAR Research Group and
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engineer. Various teaching activities in your field of expertise may take up to 20% of your time. Information and application Are you interested in this position? Please send your application via the 'Apply
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, seasonal) scales, combining sensor-based data with human-centered behavioral mapping and on-site observation. Help develop harmonized data collection, integration, and analysis protocols ensuring consistency
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Do you want to study how climate change affects cities? Do you want to help cities develop long-term strategies for the energy transition and urban greening? Then we offer you a great opportunity to
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, and materials science. In this PhD project, you will: § Develop an experimental platform to study 3D self-organization of active particles. § Fabricate and characterize light-driven microswimmers
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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. Implementation You will develop data analysis scripts to assess and improve data quality. Your main responsibility will be to collaborate with PhD candidates and the postdoctoral researcher on the representation
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services, from observations and modelling to product generation, end user alerting and dissemination of relevant information Behavioural competencies Education and professional experience A master's degree
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collaboration with the other team members, will further develop the research design, collect and analyze data, and disseminate findings to both academic and non-academic audiences. These research phases are as
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10% teaching load and gives you the opportunity to make a start with/work on your teaching portfolio for the University Teaching Qualification. Would you like to learn more about what it’s like